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  2. ATLAS.ti - Wikipedia

    en.wikipedia.org/wiki/ATLAS.ti

    ATLAS.ti is a tool that supports locating, coding/tagging, and annotating features within bodies of unstructured data; it also offers visualization functions.The software is used by researchers in a wide variety of fields, and it supports data in text, graphical, audio, video, and geospatial format. [3]

  3. Computer-assisted qualitative data analysis software - Wikipedia

    en.wikipedia.org/wiki/Computer-assisted...

    Computer-assisted (or aided) qualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, [1] grounded theory methodology, etc.

  4. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    Data analysis is the process of ... to help communicate key messages contained in the data. [46] Tables are a valuable tool by ... Qualitative research; Structured ...

  5. List of statistical software - Wikipedia

    en.wikipedia.org/wiki/List_of_statistical_software

    Mondrian – data analysis tool using interactive statistical graphics with a link to R; Neurophysiological Biomarker Toolbox – Matlab toolbox for data-mining of neurophysiological biomarkers; OpenBUGS; OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and ...

  6. NVivo - Wikipedia

    en.wikipedia.org/wiki/NVivo

    NVivo is intended to help users organize and analyze non-numerical or unstructured data.Its developers state that it helps qualitative researchers to organize, analyze and find insights in unstructured or qualitative data like interviews, open-ended survey responses, journal articles, social media and web content, where deep levels of analysis on small or large volumes of data are required.

  7. ELAN software - Wikipedia

    en.wikipedia.org/wiki/ELAN_software

    It has a tier-based data model that supports multi-level, multi-participant annotation of time-based media. It is applied in humanities and social sciences research (language documentation, sign language and gesture research) for the purpose of documentation and of qualitative and quantitative analysis. [3]